Probabilistic graphical models : principles and techniques

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Material type: Text

TextSeries: Adaptive computation and machine learningPublication details: Cambridge : MIT Press, @2009.Description: xxi, 1231 p. : ill. ; 24 cmISBN:

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Holdings
Item type	Current library	Collection	Call number	Status	Notes	Date due	Barcode	Item holds	Course reserves
Books	IIITD Reference	Mathematics	CB 519.542 KOL-P (Browse shelf(Opens below))	Available	DBT Project Grant		012906
Reference	IIITD Reference	Mathematics	REF 519.542 KOL-P (Browse shelf(Opens below))	Not for loan			001131		Probabilistic Graphical Models WNT

Total holds: 0

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Previous	REF 519.542 CAR-B Bayesian methods for data analysis	REF 519.542 DAR-M Modeling and reasoning with Bayesian networks	REF 519.542 GEL-B Bayesian data analysis	REF 519.542 KOL-P Probabilistic graphical models : principles and techniques	REF 519.542 KRO-D Decision procedures :	REF 519.542 PUT-M Markov decision processes : discrete stochastic dynamic programming	REF 519.542 SIL-S The signal and the noise :	Next

Includes bibliographical references (p. [1171]-1207) and indexes.

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